large-scale pretraining

5 papers

• EgoDTM: Towards 3D-Aware Egocentric Video-Language Pretraining
• MS-BART: Unified Modeling of Mass Spectra and Molecules for Structure Elucidation
• PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts
• REVE: A Foundation Model for EEG - Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects
• Rendering-Aware Reinforcement Learning for Vector Graphics Generation